The India AI Impact Summit 2026 convened government leaders, researchers, and digital innovators to explore how artificial intelligence and digital public infrastructure (DPI) are shaping India’s next growth wave. A standout session, “Unlocking AI’s Potential for Agricultural Innovation and DPI‑Enabled Economic Growth,” brought together voices from philanthropy, foundations, and grassroots organizations to discuss how AI can transform agriculture while ensuring equitable access and trust at scale.
AI and Agriculture: A Global Imperative
Across the world, countries are turning to AI‑driven solutions to boost agricultural productivity and resilience against climate change. From precision farming tools in the U.S. and Europe to AI‑powered advisory platforms in Africa, digital agriculture has moved from experimentation to mainstream deployment. Yet challenges remain — especially around interoperability, trust, and inclusion of smallholder farmers who form the backbone of agrarian economies. India’s DPI framework, with its focus on openness and scale, offers a unique foundation to address these concerns.
Building Trust and Inclusion
Moderated by Nidhi Bhasin (Digital Green Trust), the session featured Fatema AlMulla (International Affairs Office of the Court), Jagadish Babu (EkStep Foundation), Niriksha Shetty (PxD), and Sanjay Jain (Gates Foundation). Panelists agreed that trust remains the cornerstone of digital adoption. As Shetty emphasized, it develops over time through consistent, transparent actions that prove reliability. AlMulla added that technology design must ensure inclusion — reaching the right communities and gathering structured feedback to refine tools for real-world use.
Strengthening the Public Infrastructure Layer
Jain highlighted that innovation in agriculture cannot scale without a robust horizontal layer of public infrastructure. When governments invest in shared digital frameworks — data registries, open APIs, and farmer access systems — private and social players can build diverse applications that amplify reach and efficiency.
The session closed on a forward-looking note: AI’s success in agriculture rests on a triangle of trust, inclusivity, and interoperability. With strong DPI foundations and cross-sector collaboration, India has the potential to set a global benchmark for AI‑enabled agricultural growth.
